End of training
Browse files- README.md +4 -1
- all_results.json +5 -0
- eval_results.json +7 -0
- tokenizer.json +2 -2
README.md
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---
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base_model: Qwen/Qwen3-1.7B
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library_name: transformers
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model_name: Qwen3-1.7B-Instruct-SFT
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for Qwen3-1.7B-Instruct-SFT
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This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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---
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base_model: Qwen/Qwen3-1.7B
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datasets: atomwalk12/linalgzero-distilled-debug
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library_name: transformers
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model_name: Qwen3-1.7B-Instruct-SFT
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tags:
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- generated_from_trainer
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- trl
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- tool-use
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- linalg-zero
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- sft
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licence: license
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---
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# Model Card for Qwen3-1.7B-Instruct-SFT
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This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on the [atomwalk12/linalgzero-distilled-debug](https://huggingface.co/datasets/atomwalk12/linalgzero-distilled-debug) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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all_results.json
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{
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"total_flos": 952828382195712.0,
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"train_loss": 0.0,
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"train_runtime": 6.839,
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{
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"eval_loss": 0.903278112411499,
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"eval_runtime": 1.4988,
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"eval_samples": 4,
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"eval_samples_per_second": 2.669,
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"eval_steps_per_second": 2.669,
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"total_flos": 952828382195712.0,
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"train_loss": 0.0,
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"train_runtime": 6.839,
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eval_results.json
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{
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"eval_loss": 0.903278112411499,
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"eval_runtime": 1.4988,
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"eval_samples": 4,
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"eval_samples_per_second": 2.669,
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"eval_steps_per_second": 2.669
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc68ef9483e17b8453514159d4e669d963d343267a9407d51bfe1a5c3d81e7a3
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size 11422755
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